Our research
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Labs
Research areas
Algorithms and theory47205 (25)
Communication and collaboration47188 (23)
Computational linguistics47189 (9)
Computational sciences47190 (12)
Computer systems and networking47191 (47)
Computer vision208594 (3)
Data mining and data management208595 (3)
Economics and computation47192 (10)
Education47193 (7)
Gaming47194 (7)
Graphics and multimedia47195 (23)
Hardware and devices47196 (28)
Health and well-being47197 (12)
Human-computer interaction47198 (47)
Machine learning and intelligence47200 (53)
Mobile computing208596 (4)
Quantum computing208597 (1)
Search, information retrieval, and knowledge management47199 (38)
Security and privacy47202 (25)
Social media208598 (0)
Social sciences47203 (29)
Software development, programming principles, tools, and languages47204 (24)
Speech recognition, synthesis, and dialog systems208599 (1)
Technology for emerging markets208600 (1)
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Group details
Labs: India
The Audio and Acoustics group conducts research in audio processing and speech enhancement, 3D audio perception and technologies, devices for audio capture and rendering, array processing, information extraction from audio signals.
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Labs: Redmond
Our mission is to harvest and curate the wealth of knowledge encoded in language: people, content, things, connections, and activities. We mobilize research and advanced technology for the Technology arm of MSR by adapting, developing and integrating state-of-the-art technology from NLP, text mining, machine learning, knowledge extraction, and knowledge representation, while building end to end interactive knowledge experiences in close collaboration with partners across MSR and product teams.
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Labs: Redmond
The Knowledge Mining (KM) group at Microsoft Research Asia aims to understand and serve the world through knowledge discovery and data mining. It consists of a team of interdisciplinary researchers spanning data mining, machine learning, natural language processing, information retrieval and social computing areas.
Group details
Labs: Asia
Studio 99 is a new gallery space at Microsoft Research. Its goals are to express the creative talents of the MSR community and stimulate interesting conversations about the relationship between art and science. Many of the greatest scientists have also been artists, and the spark of creativity links both fields. By providing a space for science and art to interact, Studio 99 hopes to inspire new kinds of human expression, both scientific and artistic.
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Labs: Redmond
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Labs: Asia
Our goal is to extract biological and medical knowledge from text. Natural Language Processing tools and techniques are used in combination with biological resources.
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Labs: Redmond
Our mission is to explore next-generation computing systems that are scalable, efficient, robust, and easy to program.
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Labs: Redmond
In the System Algorithms (SysAlgo) Research Group, we focus on problems at the intersection of systems, networking, and algorithms research. We study the algorithmic foundations of the systems that drive today's computing (cloud computing, data centers, large-scale distributed systems, mobile computing, etc); and we apply our expertise in practice to advance the state of the art in applied algorithm design, and to deliver highly efficient, scalable, and robust solutions to our product groups.
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Labs: Asia
In recent years, we have seen dramatic improvements in machine learning, knowledge mining, graph database, and crowdsourcing that are providing search engines with new capabilities to perform deeper data and text processing and understanding. Web Search and Data Management Group is performing cutting edge research in these related areas and developing new capabilities to empower next generation search engines and intelligent applications.
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Labs: Asia
The team of scientists in Bing that develop speech and language technologies
Group details
Labs: Redmond
We are conducting numerous projects aimed at improving web search. Our projects range from developing core systems infrastructure, to developing novel algorithms and heuristics for ranking and classifying web pages, to study basic properties of the web at large, to mining query logs for temporal patterns.
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We are currently investigating various topics related to the correctness and performance of software systems, especially in the area of concurrent systems. We place a high value on producing tools and methodologies that can be used by software developers and researchers.
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We are currently investigating a broad spectrum of topics in security, cryptography, and privacy. These topics range from fundamental research on privacy in the context of statistical databases to new systems mechanisms for realizing security in operating systems to mitigating and preventive measures against worms and viruses.
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We are currently investigating various topics related to computer architecture (multicore, manycore, transaction memory, etc.), hardware accelerators, systems architecture (storage, nonvolatile memory, etc.), including software and hardware components, and graphics. We strive to understand and optimize systems and system interactions, enabling new paradigms, accelerators, and research platforms. As a result, we build hardware and software systems that facilitate research in a variety of areas.
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Algorithms and theory research at the Silicon Valley Campus is motivated equally by the goals of having significant impact on the real world and by advancing the state of the art in pure research. To this end, we pursue a wide variety of projects over many diverse research areas, most recently including graph algorithms, database privacy, approximation algorithms, algorithmic mechanism design, cryptography, algorithms for large data sets and the theory of distributed computing, among others.
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Labs: New York
Web platforms such as Amazon’s Mechanical Turk are revolutionizing our ability to conduct human behavioral experiments of the kind historically performed in physical labs. Such “virtual lab” experiments allow for individual-level psychology and economics experiments to be carried out with unprecedented scale and speed, and also permit larger and more complex “networked” experiments on topics such as cooperation, learning, and collective problem solving.
Group details
Labs: New York
With increasingly more data on every aspect of our daily activities – from what we buy, to where we travel, to who we know – we are able to measure human behavior with precision largely thought impossible just a decade ago. Lying at the intersection of computer science, statistics and the social sciences, the emerging field of computational social science uses large-scale demographic, behavioral and network data to address longstanding questions in sociology, economics, politics, and beyond.
Group details
Labs: New York
Research of the Machine Learning group at MSR-NYC spans a wide variety of topics within theoretical and applied machine learning, including learning from interactive data (e.g., contextual bandits), large-scale machine learning, and convex optimization.
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Labs: New York
We focus on solving some of the most pressing, real-world problems in computer science.
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Labs: India
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Labs: Redmond
The IECA group consists of an elite team of researchers who have strong expertise in information retrieval, machine learning, game theory, and micro-economics. The group is devoted to the following research directions: learning to rank for search and advertising, statistical game theory, game-theoretic machine learning, mechanism (economics model) design for online business, click and conversion prediction for sponsored search, etc.
Group details
Labs: Asia
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